Jorij Abraham

This article was co-authored: PETER TAYLOR is an Accredited Counter Fraud Specialist with a successful career on the fraud side of Loss Adjusting having been the Head of Fraud for major loss adjusters. He has pioneered the benefits of intervention on suspect claims, the introduction of conversation management for desktop investigations, and the benefits of technology for intelligence led investigations. He set up his own consultancy business in 2012 and has widened the scope of his experience from claims investigations to include online retail, banking, credit providers and local government. JOHN BETHELL has a long term background in Consultancy ( Booz Allen Hamilton) Financial services ( HSBC, AXA ) and Technology ( FatBrain, Autonomy, AOL), He has strong interest in AI-Enhanced Machine learning ( ML) having spent the last four years working with a proven US AI provider focused on augmenting C- Suite decision making in FS in such diverse areas as Fraud, AML, Insurance, Underwriting, Trading and Investment. He is strongly aware of how ML technology can be applied in settings outside of FS.

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Investment, Acquisitions & IPOs – Q4 2023

Q4 is a wrap! It's time for our quarterly investment update. Dive in to discover the latest funding and acquisitions in the fraud/risk space! Funding Biocatch BioCatch, a leader in software development for bank fraud and money laundering prevention, achieved unicorn status amidst the Hamas-Israel conflict with a new secondary deal. The...
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Chargebacks in 2023: 4 Key Takeaways

Mitigating chargebacks is a complex task. Consumers file a dispute for a myriad of reasons, and that array of possible behaviors makes the prevention and refutation of chargebacks a challenge. To that end, efforts to define current trends and defense strategies can benefit the entire industry as it tackles an evolving and...
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What Causes Subscription Chargebacks?

Subscription-based sales can be an excellent way to build long-lasting customer relationships and establish an ongoing revenue stream. Subscriptions build customer loyalty, and that’s according to the metric that matters most—sales. Customers are 75% more likely to make additional purchases from a merchant with whom they already have a subscription or similar...
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Fraud Thoughts (Part III)

What's Next? Scam Liability Edition Scams, scams, and more scams. Scams continue to achieve success and show no signs of slowing down - FTC data shows consumers lost $8.8 billion to scams in 2022, up 30% over 2021 losses; I expect 2023 numbers will show continuing growth. And, it's safe to say that we...
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Fraud Thoughts (Part II)

What's New? GenAI Edition GenAI is a scorching hot topic. Before we dive into the fraud impacts, let’s get grounded in what it is... Generative AI describes computer algorithms, such as ChatGPT and Midjourney, that can be used to create new content based on simple prompts from the user. Below are some...
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Fraud Thoughts (Part I)

Inaugural Edition Welcome to the inaugural edition of Fraud Thoughts - where I will share insights with you from my day-to-day experience across a multitude of fraud topics such as fraud management leading practices, hot issues (like GenAI, and whatever is next!) and cover top fraud stories and trends from across the...
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Investment, Acquisitions & IPOs – Q3 2023

Q3 is a wrap! It's time for our quarterly investment update. Dive in to discover the latest funding and acquisitions in the fraud/risk space! Funding Spycloud SpyCloud, a leading identity analytics company specializing in safeguarding digital identities, has successfully closed a $110 million growth round backed by Riverwood Capital, a global investor...
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Prepare for Emerging Identity Fraud Schemes and What to Do Next

Identity fraud looms large for every organization. The algorithms and machine learning methods we used to combat fraud are the same types of tools fraudsters can easily deploy. Combined with nefarious, automated bots, cybercriminals are employing sophisticated identity fraud schemes to gain access to consumer accounts or directly create fraudulent accounts with...
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AI and Fraud Prevention: Part 4

Mapping the Maze: Integrating AI and Machine Learning into Your Fraud Defence Strategy It is an interdependent partnership. Integrating AI enhanced machine learning (ML) into your existing fraud solutions may feel as complex as constructing a radio from scratch. However, understanding the process can guide you through this integration as smoothly as...
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